Visual-semantic embeddings

Visual-semantic embeddings are techniques that link images and their descriptions or related concepts into a shared mathematical space. This means that an image and its relevant words or phrases are positioned close together, making it easier for computers to understand and relate visual content to language. For example, a picture of a dog and the word "dog" would be mapped near each other. This approach enables applications like image search using natural language, caption generation, and more intelligent image recognition by bridging the gap between visual information and semantic meaning.